TensorFlow TensorFlow (Tengsanfo) is Google based on the development of the second generation of artificial intelligence learning system, its name comes from its own operating principles. Tensor (tensor) means n-dimensional arrays, flow (stream) means the computation based on data flow diagram, TensorFlow flows from one end of the flow graph to the other.
TensorFlow implements the Softmax regression model, tensorflowsoftmax
I. Overview and complete code
Tensorflow encapsulates MNIST (MixedNational Institute of Standard and Technology database), a very simple machine vision dataset, and can directly load MNIST data into the expected format. this program uses Softmax Regression to train the classification model for Handwritten Digit Recognition.
First look at
The current popular deep learning library has Caffe,keras,theano, this article uses the Google Open source has used to make Alphago's deep learning system TensorFlow.1: Install TensorFlowThe earliest TensorFlow only supported Mac and Linux systems and currently supports Windows systems, but requires a python3.5 (64bit) version. TensorFlow has CPU and GPU versions
The following two issues were encountered in TensorFlow Chinese document Learning TensorFlow in TensorFlow official documents and Geek College:1) attributeerror:module ' TensorFlow ' has no attribute ' sub '# Enter an interactive tensorflow session Import == tf. Variable ([
Install TensorFlow source code in Ubuntu 15.04
This article describes how to install TensorFlow source code. The installed system is Ubuntu 15.04.Obtain TensorFlow source code
1
git clone --recurse-submodules https://github.com/tensorflow/tensorflow
Use--re
TensorFlowTensorFlow is Google's second generation of AI learning systems based on Distbelief, whose name comes from its own operating principles. Tensor (tensor) means n-dimensional arrays, flow (stream) means the computation based on data flow diagram, TensorFlow flows from one end of the flow graph to the other. TensorFlow is a system that transmits complex data structures to artificial neural networks f
was successful.Second, installation TensorFlowOpen Anaconda Prompt1. Upgrade Pip to the latest version:2. Create an environment named TensorFlow and install the Python3.5.2Conda Create--name TensorFlow python=3.5.2Enter Y, enter. After the installation is complete:3. Activate this environment: Activate TensorFlow4. Installing TensorFlowPip Install TensorFlowNote: To install
After installing TensorFlow under Windows, after running Python under CMD, import TensorFlow appears with the following error:Traceback (most recent):File "D:\Python\Python35\lib\site-packages\tensorflow\python\pywrap_tensorflow_internal.py", line +, in Swig_ Import_helperreturn Importlib.import_module (mname)File "D:\Python\Python35\lib\importlib__init__.py",
Deep learning has a profound effect on computer science. It makes it possible for cutting-edge technology to research and develop products that are used by tens of millions of of people everyday.The study announced the launch of the second-generation machine learning System (TENSORFLOW), which has been strengthened for the previous distbelief, and more importantly,It's open source and can be used by anyone.Built in 2011, Google's internal deep learnin
TensorFlow v0.11.0 RC1 Released, TensorFlow is Google's second-generation machine learning system, according to Google, in some benchmarks, tensorflow performance than the first generation of distbelief faster than twice times.
Extended support for TensorFlow depth learning, any computation that can be expressed using
about TensorFlow Computing model
TensorFlow's programming differs greatly from the way I used to approach programming. Previous programming, whether the compiler type of language or scripting language, is a step-by-step, variable calculation, you will get results, such as c=a+b, when the execution of the statement, you will get the value of C. But TensorFlow is not, it first to programmatically, build a ca
Download and install AnacondaDownload the anaconda first, which can be downloaded from the image website of Tsinghua University .Install Anaconda, and be careful not to remove the option to add environment variables during installation.After the installation is complete, in the installation directory cmd, enterConda ListYou can see the integration environment that Anaconda provides for us:Here's just a part:To view version information:Conda--versionAnaconda installation was successful.Next need
In the previous article, "TensorFlow load pre-training model and save Model", we learned how to use the pre-training model. Note, however, that in the previous article, you must have at least 4 files to use the pre-training model:
Checkpoint
Mymodel.meta
mymodel.data-00000-of-00001
mymodel.index
This is very inconvenient for us to use. Is there a way to export a PB file and then use it directly. The answer is yes. In the article "
First to install the Anaconda.Note that to add an environment variable to the system, there is an option for this. Or you'll need to manually CD to Anaconda3\bin to execute the instructions below.
Due to the installation of TensorFlow, use
Pip Install TensorFlow
The instructions always go wrong, even with the official website.
Pip Install--upgrade HTTPS://STORAGE.GOOGLEAPIS.COM/
November 29, 2016, TF officially announced that version 0.12 TensorFlow supports native Windows operating systems and is not installed through Docker.
TF beginners, Windows heavy dependent users, can follow the following feasible installation method.
First, install Python
1. Install Python on Windows via pip
TensorFlow only supports 64-bit Python3.5on Windows, either via Python 3.5 from python.org or Pyth
A Installing Anaconda3Select the appropriate version of the Anaconda installation, because the website directly download the speed is too slow, we choose to download from Tsinghua University open source software image station.: https://mirrors.tuna.tsinghua.edu.cn/anaconda/archive/After entering the website, drop down to the bottom and select the Windows version to download.installation process, direct click Next, installation location is best to choose the default can save a lot of trouble.To t
Installation Environment
Windows8.1
python3.5.x (TensorFlow only supports version 3.5.x of Python on Windows)
Pip 9.0.1
tensorflow-gpu-0.12.0
Cuda
Cudnninstallation Process
Installing Python3.5
Install Python
: https://www.python.org/
Click on Windows under Downloads, this time using Python 3.5. Version 2
Select the fifth of these, Windows x86-64
Deployment and installation of Mac OS in TensorFlow
TensorFlow released version 0.8 with distributed attributes on June 13,. it is likely to become another project that changes the internet landscape after Mapreduce. I have been studying TensorFlow-related things at home this weekend and have deployed and installed TensorFlow
I c:\tf_jenkins\home\workspace\release-win\device\gpu\os\windows\tensorflow\stream_executor\dso_loader.cc:119] Couldn ' t open CUDA library Cublas64_80.dllI c:\tf_jenkins\home\workspace\release-win\device\gpu\os\windows\tensorflow\stream_executor\cuda\cuda_blas.cc : 2294] Unable to load Cublas DSO.I c:\tf_jenkins\home\workspace\release-win\device\gpu\os\windows\tensorfl
Pattern Recognition field Application machine learning scene is very many, handwriting recognition is one of the most simple digital recognition is a multi-class classification problem, we take this multi-class classification problem to introduce Google's latest open source TensorFlow framework, The content behind the deep learning will be presented and demonstrated based on TensorFlow.Please respect original, reprint please indicate source website ww
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